Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors
學年 101
學期 2
出版(發表)日期 2013-06-01
作品名稱 Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors
著者 Hung, Cheng-yao; Liu, Peter; Lian, Kuang-yow
單位 淡江大學電機工程學系
出版者 Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數 IEEE Transactions on Cybernetics 43(3), pp.970-981
摘要 This paper introduces a fuzzy virtual reference model (FVRM) synthesis method for linear induction motor (LIM) speed sensorless tracking control. First, we represent the LIM as a T-S fuzzy model. Second, we estimate the immeasurable mover speed and secondary flux by a fuzzy observer. Third, to convert the speed tracking control into a stabilization problem, we define the internal desired states for state tracking via an FVRM. Finally, by solving a set of linear matrix inequalities (LMIs), we obtain the observer gains and the control gains where exponential convergence is guaranteed. The contributions of the approach in this paper are three folds: i) simplified approach -- speed tracking problem converted to stabilization problem; ii) omit need of actual reference model -- fuzzy virtual reference model generates internal desired states; and iii) unification of controller and observer design -- control objectives are formulated into LMI problem where powerful numerical toolboxes solve controller and observer gains. Finally, experiments are carried out to verify the theoretical results and show satisfactory performance both in transient response and robustness.
關鍵字 Observers;Induction motors;Mathematical model;Force;Fuzzy logic;Tracking
語言 en_US
ISSN 2168-2267 2168-2275
期刊性質 國外
收錄於 SCI EI
通訊作者 Liu, Peter
國別 USA
出版型式 ,電子版,紙本

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/77958 )